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Build error
Zenith Wang
commited on
Commit
·
68ecd47
1
Parent(s):
284099f
Redesign interface similar to Qwen3-Demo with cleaner layout and better functionality
Browse files
app.py
CHANGED
@@ -9,11 +9,10 @@ import re
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# 配置
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BASE_URL = "https://api.stepfun.com/v1"
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-
# 从环境变量获取API密钥
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STEP_API_KEY = os.environ.get("STEP_API_KEY", "")
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def image_to_base64(image):
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"""
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if image is None:
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return None
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@@ -23,275 +22,269 @@ def image_to_base64(image):
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img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
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return img_str
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elif isinstance(image, str) and os.path.exists(image):
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# 如果是文件路径
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with open(image, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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return None
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def
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"""
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reasoning_pattern = re.compile(r'<reasoning>(.*?)</reasoning>', re.DOTALL)
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-
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cot = match.group(1).strip()
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# 移除reasoning标签及其内容,得到最终答案
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answer = reasoning_pattern.sub('', text).strip()
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return cot, answer
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else:
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# 如果没有reasoning标签,整个响应就是答案
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return "", text
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def call_step_api_stream(message, history, image=None):
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"""调用Step API进行流式对话"""
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print(f"[DEBUG] Starting API call - Message: {message}, Has Image: {image is not None}")
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if not message and not image:
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print("[DEBUG] No message or image provided")
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yield history, "", ""
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return
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if not STEP_API_KEY:
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-
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history.append([message or "[Image]", error_msg])
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yield history, "", ""
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return
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-
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display_message = message or ""
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image_content = None
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if
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try:
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except Exception as e:
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print(f"[DEBUG] Failed to process image: {e}")
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#
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history.append([
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yield history
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#
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messages = []
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if user_text:
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messages.append({"role": "user", "content": user_text})
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if h[1] and not h[1].startswith("❌"):
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assistant_text = h[1]
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# 如果包含格式化的CoT和Answer,提取完整内容
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if "**Reasoning Process:**" in assistant_text:
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# 移除格式化标记,保留原始内容
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assistant_text = re.sub(r'\*\*.*?\*\*', '', assistant_text)
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assistant_text = assistant_text.replace("💭", "").replace("📝", "").replace("---", "").strip()
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messages.append({"role": "assistant", "content": assistant_text})
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#
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if image_content:
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# 有图片的情况
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current_content = [
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{"type": "image_url", "image_url": {"url": f"data:image/jpg;base64,{image_content}", "detail": "high"}}
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]
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if
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current_content.append({"type": "text", "text":
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messages.append({"role": "user", "content": current_content})
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else:
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if message:
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messages.append({"role": "user", "content": message})
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print(f"[DEBUG]
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#
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try:
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client = OpenAI(api_key=STEP_API_KEY, base_url=BASE_URL)
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except Exception as e:
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print(f"[DEBUG] Client initialization failed: {e}")
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history[-1][1] = f"❌ Client initialization failed: {str(e)}"
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yield history, "", ""
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return
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-
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# 调用API
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try:
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print("[DEBUG] Calling API...")
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response = client.chat.completions.create(
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model="step-3",
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messages=messages,
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temperature=
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max_tokens=
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stream=True
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)
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print("[DEBUG] API call successful, processing stream...")
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#
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full_response = ""
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current_cot = ""
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current_answer = ""
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chunk_count = 0
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for chunk in response:
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chunk_count += 1
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if chunk.choices and len(chunk.choices) > 0:
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delta = chunk.choices[0].delta
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if hasattr(delta, 'content') and delta.content:
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full_response += delta.content
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-
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current_cot, current_answer = extract_cot_and_answer(full_response)
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# 更新历史中的回复
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if current_cot and current_answer:
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# 如果有CoT,显示完整格式
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history[-1][1] = f"💭 **Reasoning Process:**\n\n{current_cot}\n\n---\n\n📝 **Answer:**\n\n{current_answer}"
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elif current_cot:
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# 只有CoT,还没有答案
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history[-1][1] = f"💭 **Reasoning Process:**\n\n{current_cot}\n\n---\n\n📝 **Answer:**\n\n*Generating...*"
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else:
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# 没有CoT,直接显示答案
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history[-1][1] = current_answer
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if chunk_count % 5 == 0: # 每5个chunk更新一次,减少更新频率
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print(f"[DEBUG] Processed {chunk_count} chunks")
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yield history, current_cot, current_answer
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if not full_response:
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print("[DEBUG] No response content received")
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history[-1][1] = "⚠️ No response received from API"
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yield history
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print(f"[DEBUG] Final response length: {len(full_response)} chars")
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# 最终更新
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yield history, current_cot, current_answer
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except Exception as e:
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print(f"[DEBUG] API
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history[-1][1] = f"❌ API request failed: {str(e)}"
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yield history, "", ""
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def clear_all():
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"""Clear all components"""
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return [], None, "", "", ""
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# 创建Gradio界面
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with gr.Blocks(title="Step-3", theme=gr.themes.Soft()) as demo:
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gr.Markdown("""
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# 🤖 Step-3
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""")
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with gr.Row():
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with gr.Column(scale=
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#
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chatbot = gr.Chatbot(
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height=
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show_label=False,
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elem_id="chatbot",
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bubble_full_width=False
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)
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with gr.Row():
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with gr.Column(scale=
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# 文本输入框
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msg = gr.Textbox(
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lines=2,
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max_lines=
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elem_id="
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)
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with gr.Column(scale=2):
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# 图片上传
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image_input = gr.Image(
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label="Upload Image",
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type="filepath",
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height=80,
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scale=1
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)
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with gr.Column(scale=1):
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with gr.Column(scale=1):
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#
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gr.
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# 事件处理
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def
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# 提交消息
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msg.submit(
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-
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[msg, chatbot
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[msg, chatbot
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queue=False
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).then(
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[msg, chatbot,
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)
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[msg, chatbot
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[msg, chatbot
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queue=False
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).then(
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[msg, chatbot,
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)
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clear_btn.click(
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None,
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[chatbot,
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)
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# 页脚
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gr.Markdown("""
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---
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<div style="text-align: center;">
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<
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</div>
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""")
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@@ -299,10 +292,12 @@ with gr.Blocks(title="Step-3", theme=gr.themes.Soft()) as demo:
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if __name__ == "__main__":
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print(f"[DEBUG] Starting app with API key: {'Set' if STEP_API_KEY else 'Not set'}")
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print(f"[DEBUG] Base URL: {BASE_URL}")
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-
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=False,
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debug=False
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)
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# 配置
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BASE_URL = "https://api.stepfun.com/v1"
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STEP_API_KEY = os.environ.get("STEP_API_KEY", "")
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def image_to_base64(image):
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"""将图像转换为base64字符串"""
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if image is None:
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return None
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img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
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return img_str
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elif isinstance(image, str) and os.path.exists(image):
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with open(image, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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return None
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def process_message(message, history, system_prompt, temperature, max_tokens, top_p):
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"""处理消息并生成响应"""
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print(f"[DEBUG] Processing message: {message[:100] if message else 'None'}...")
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if not message:
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yield history
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return
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if not STEP_API_KEY:
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history.append([message, "❌ API key not configured. Please add STEP_API_KEY in Settings."])
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yield history
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return
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# 检查是否有图片(通过检查消息中是否有图片标签)
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image_pattern = r'<img[^>]+src="([^">]+)"'
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image_match = re.search(image_pattern, message)
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image_content = None
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text_content = message
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if image_match:
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# 提取图片路径
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image_path = image_match.group(1)
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text_content = re.sub(image_pattern, '', message).strip()
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# 转换图片为base64
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try:
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if image_path.startswith('data:'):
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# 已经是base64格式
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image_content = image_path.split(',')[1]
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else:
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image_content = image_to_base64(image_path)
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except Exception as e:
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print(f"[DEBUG] Failed to process image: {e}")
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# 添加到历史
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history.append([message, ""])
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yield history
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# 构建API消息
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messages = []
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# 添加系统提示词
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if system_prompt:
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messages.append({"role": "system", "content": system_prompt})
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# 添加历史对话
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for h in history[:-1]:
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if h[0]:
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# 用户消息 - 移除图片标签
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user_text = re.sub(r'<img[^>]+>', '', h[0]).strip()
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if user_text:
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messages.append({"role": "user", "content": user_text})
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if h[1] and not h[1].startswith("❌"):
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messages.append({"role": "assistant", "content": h[1]})
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# 添加当前消息
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if image_content:
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current_content = [
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{"type": "image_url", "image_url": {"url": f"data:image/jpg;base64,{image_content}", "detail": "high"}}
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]
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if text_content:
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current_content.append({"type": "text", "text": text_content})
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messages.append({"role": "user", "content": current_content})
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else:
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messages.append({"role": "user", "content": text_content})
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print(f"[DEBUG] Sending {len(messages)} messages to API")
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# 创建客户端并调用API
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try:
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client = OpenAI(api_key=STEP_API_KEY, base_url=BASE_URL)
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+
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response = client.chat.completions.create(
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model="step-3",
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messages=messages,
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temperature=temperature,
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max_tokens=max_tokens,
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top_p=top_p,
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stream=True
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)
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# 流式输出
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full_response = ""
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for chunk in response:
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if chunk.choices and len(chunk.choices) > 0:
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delta = chunk.choices[0].delta
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if hasattr(delta, 'content') and delta.content:
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full_response += delta.content
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history[-1][1] = full_response
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yield history
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if not full_response:
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history[-1][1] = "⚠️ No response received from API"
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yield history
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except Exception as e:
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print(f"[DEBUG] API error: {e}")
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history[-1][1] = f"❌ Error: {str(e)}"
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yield history
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# 创建Gradio界面
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with gr.Blocks(title="Step-3 Chat", theme=gr.themes.Soft()) as demo:
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gr.Markdown("""
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# 🤖 Step-3 Chat
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Welcome to Step-3, an advanced multimodal AI assistant by StepFun.
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""")
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|
138 |
with gr.Row():
|
139 |
+
with gr.Column(scale=3):
|
140 |
+
# 聊天界面
|
141 |
chatbot = gr.Chatbot(
|
142 |
+
height=600,
|
143 |
show_label=False,
|
144 |
elem_id="chatbot",
|
145 |
+
bubble_full_width=False,
|
146 |
+
avatar_images=None,
|
147 |
+
render_markdown=True
|
148 |
)
|
149 |
|
150 |
+
# 输入区域
|
151 |
with gr.Row():
|
152 |
+
with gr.Column(scale=10):
|
|
|
153 |
msg = gr.Textbox(
|
154 |
+
label="Message",
|
155 |
+
placeholder="Type your message here... (You can drag and drop images)",
|
156 |
lines=2,
|
157 |
+
max_lines=10,
|
158 |
+
show_label=False,
|
159 |
+
elem_id="message-textbox"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
160 |
)
|
161 |
+
with gr.Column(scale=1, min_width=100):
|
162 |
+
submit_btn = gr.Button("Send", variant="primary")
|
163 |
+
|
164 |
+
# 底部按钮
|
165 |
+
with gr.Row():
|
166 |
+
clear_btn = gr.Button("🗑️ Clear", scale=1)
|
167 |
+
undo_btn = gr.Button("↩️ Undo", scale=1)
|
168 |
+
retry_btn = gr.Button("🔄 Retry", scale=1)
|
169 |
|
170 |
with gr.Column(scale=1):
|
171 |
+
# 设置面板
|
172 |
+
with gr.Accordion("⚙️ Settings", open=True):
|
173 |
+
system_prompt = gr.Textbox(
|
174 |
+
label="System Prompt",
|
175 |
+
placeholder="You are a helpful assistant...",
|
176 |
+
lines=3,
|
177 |
+
value="You are Step-3, a helpful AI assistant created by StepFun."
|
178 |
+
)
|
179 |
+
|
180 |
+
temperature = gr.Slider(
|
181 |
+
minimum=0,
|
182 |
+
maximum=2,
|
183 |
+
value=0.7,
|
184 |
+
step=0.1,
|
185 |
+
label="Temperature"
|
186 |
+
)
|
187 |
+
|
188 |
+
max_tokens = gr.Slider(
|
189 |
+
minimum=1,
|
190 |
+
maximum=4096,
|
191 |
+
value=2048,
|
192 |
+
step=1,
|
193 |
+
label="Max Tokens"
|
194 |
+
)
|
195 |
+
|
196 |
+
top_p = gr.Slider(
|
197 |
+
minimum=0,
|
198 |
+
maximum=1,
|
199 |
+
value=0.95,
|
200 |
+
step=0.01,
|
201 |
+
label="Top P"
|
202 |
+
)
|
203 |
|
204 |
+
# 示例
|
205 |
+
with gr.Accordion("📝 Examples", open=False):
|
206 |
+
gr.Examples(
|
207 |
+
examples=[
|
208 |
+
["What is machine learning?"],
|
209 |
+
["Write a Python function to calculate fibonacci numbers"],
|
210 |
+
["Explain quantum computing in simple terms"],
|
211 |
+
["What are the benefits of renewable energy?"],
|
212 |
+
["How does blockchain technology work?"]
|
213 |
+
],
|
214 |
+
inputs=msg,
|
215 |
+
label=""
|
216 |
+
)
|
217 |
|
218 |
# 事件处理
|
219 |
+
def user_submit(message, history):
|
220 |
+
return "", history
|
221 |
+
|
222 |
+
def undo_last(history):
|
223 |
+
if history:
|
224 |
+
return history[:-1]
|
225 |
+
return history
|
226 |
+
|
227 |
+
def retry_last(history):
|
228 |
+
if history and history[-1][0]:
|
229 |
+
last_message = history[-1][0]
|
230 |
+
return history[:-1], last_message
|
231 |
+
return history, ""
|
232 |
|
233 |
# 提交消息
|
234 |
msg.submit(
|
235 |
+
user_submit,
|
236 |
+
[msg, chatbot],
|
237 |
+
[msg, chatbot],
|
238 |
queue=False
|
239 |
).then(
|
240 |
+
process_message,
|
241 |
+
[msg, chatbot, system_prompt, temperature, max_tokens, top_p],
|
242 |
+
chatbot
|
243 |
)
|
244 |
|
245 |
+
submit_btn.click(
|
246 |
+
user_submit,
|
247 |
+
[msg, chatbot],
|
248 |
+
[msg, chatbot],
|
249 |
queue=False
|
250 |
).then(
|
251 |
+
process_message,
|
252 |
+
[msg, chatbot, system_prompt, temperature, max_tokens, top_p],
|
253 |
+
chatbot
|
254 |
)
|
255 |
|
256 |
+
# 清空对话
|
257 |
clear_btn.click(
|
258 |
+
lambda: ([], ""),
|
259 |
None,
|
260 |
+
[chatbot, msg]
|
261 |
+
)
|
262 |
+
|
263 |
+
# 撤销最后一条
|
264 |
+
undo_btn.click(
|
265 |
+
undo_last,
|
266 |
+
chatbot,
|
267 |
+
chatbot
|
268 |
+
)
|
269 |
+
|
270 |
+
# 重试最后一条
|
271 |
+
retry_btn.click(
|
272 |
+
retry_last,
|
273 |
+
chatbot,
|
274 |
+
[chatbot, msg]
|
275 |
+
).then(
|
276 |
+
process_message,
|
277 |
+
[msg, chatbot, system_prompt, temperature, max_tokens, top_p],
|
278 |
+
chatbot
|
279 |
)
|
280 |
|
281 |
# 页脚
|
282 |
gr.Markdown("""
|
283 |
---
|
284 |
+
<div style="text-align: center; color: #666;">
|
285 |
+
<p>Powered by <a href="https://www.stepfun.com/" target="_blank" style="color: #0969da;">StepFun</a> |
|
286 |
+
Model: Step-3 |
|
287 |
+
<a href="https://github.com/stepfun-ai" target="_blank" style="color: #0969da;">GitHub</a></p>
|
288 |
</div>
|
289 |
""")
|
290 |
|
|
|
292 |
if __name__ == "__main__":
|
293 |
print(f"[DEBUG] Starting app with API key: {'Set' if STEP_API_KEY else 'Not set'}")
|
294 |
print(f"[DEBUG] Base URL: {BASE_URL}")
|
295 |
+
|
296 |
+
demo.queue(max_size=20)
|
297 |
demo.launch(
|
298 |
server_name="0.0.0.0",
|
299 |
server_port=7860,
|
300 |
share=False,
|
301 |
+
debug=False,
|
302 |
+
show_error=True
|
303 |
)
|